About the Journal

The American Journal of Data Science and Analytics (AJDSA) is a peer-reviewed, open-access international journal dedicated to advancing scholarly research, innovation, and practical applications in the rapidly evolving fields of data science, analytics, and artificial intelligence. As data-driven approaches increasingly shape decision-making across industries, governments, and scientific disciplines, AJDSA provides a global platform for disseminating high-quality research that integrates theoretical foundations with real-world problem solving.

AJDSA serves academics, researchers, data scientists, engineers, industry professionals, and policymakers by publishing original contributions that explore how data, algorithms, and analytical frameworks can generate actionable insights and support intelligent systems. The journal emphasizes interdisciplinary research that bridges statistics, computer science, mathematics, engineering, and domain-specific applications, reflecting the central role of data science in contemporary innovation ecosystems.

The journal is committed to fostering rigorous scientific inquiry while ensuring accessibility and transparency through its open-access publishing model. By removing subscription barriers, AJDSA enables the global research community to freely access, share, and build upon published work, accelerating knowledge diffusion and technological progress worldwide.

Mission and Vision

The mission of the American Journal of Data Science and Analytics is to publish impactful, methodologically sound, and innovative research that advances the theory and practice of data science and analytics. The journal seeks to promote evidence-based insights, reproducible research, and ethical use of data and artificial intelligence across academic and applied contexts. AJDSA aims to support the development of intelligent data-driven systems that address complex challenges in science, business, healthcare, governance, and society.

The vision of AJDSA is to become a globally recognized journal at the forefront of data science and analytics scholarship. The journal aspires to serve as a trusted reference for cutting-edge research, fostering collaboration between academia and industry while encouraging interdisciplinary dialogue. By upholding high editorial standards and ethical publishing practices, AJDSA seeks to shape the future of data-driven innovation and responsible AI deployment.

International Focus and Scope

AJDSA maintains a strong international orientation and welcomes submissions from researchers and practitioners across all regions of the world. The journal recognizes that data-driven challenges and opportunities vary across economic, cultural, and institutional contexts, and it actively encourages comparative, cross-national, and global studies. Contributions from both developed and developing regions are valued, as they offer diverse perspectives on data availability, analytical methodologies, and real-world implementation.

The scope of AJDSA is intentionally broad to reflect the interdisciplinary nature of data science and analytics. Areas of interest include, but are not limited to:

·         Data science theory, methodologies, and computational frameworks

·         Statistical modeling, inference, and advanced analytics

·         Machine learning, deep learning, and artificial intelligence

·         Big data architectures, data engineering, and scalable analytics

·         Data mining, pattern recognition, and knowledge discovery

·         Predictive analytics, forecasting, and decision support systems

·         Data visualization, visual analytics, and human–data interaction

·         Natural language processing, computer vision, and multimodal analytics

·         Explainable AI, model interpretability, and algorithmic transparency

·         Ethical AI, data governance, privacy, and responsible analytics

·         Applications of data science in healthcare, finance, business, engineering, social sciences, and public policy

Through this wide-ranging scope, AJDSA promotes research that not only advances technical knowledge but also demonstrates measurable impact in applied domains.

Article Types

AJDSA publishes a variety of scholarly contributions that reflect both theoretical advancement and applied significance. Accepted manuscript types include:

·         Original research articles presenting novel methodologies, algorithms, or empirical findings

·         Review articles and systematic reviews synthesizing existing literature and identifying research gaps

·         Conceptual and theoretical papers proposing new analytical frameworks or models

·         Case studies and applied research demonstrating real-world data science implementations

·         Short communications reporting emerging findings or innovative techniques

·         Technical notes and methodological papers addressing tools, pipelines, or computational advances

·         Commentaries and perspectives discussing trends, challenges, and ethical considerations

All submissions undergo a rigorous double-blind peer-review process to ensure originality, methodological rigor, clarity, and relevance to the journal’s scope.

Open Access and Author Rights

The American Journal of Data Science and Analytics operates under a fully open-access publishing model. All published articles are immediately and permanently accessible to readers worldwide without subscription or paywall restrictions. This approach reflects the journal’s commitment to equitable knowledge sharing and the belief that data science research should be freely available to support innovation and societal progress.

AJDSA publishes articles under the Creative Commons Attribution (CC BY 4.0) license, allowing readers to share, adapt, and reuse content with proper attribution. Authors retain copyright of their work while benefiting from enhanced visibility, citation potential, and global dissemination.

Target Audience

AJDSA serves a diverse and interdisciplinary readership that includes:

·         Academic researchers and faculty in data science, computer science, statistics, and applied mathematics

·         Data scientists, analysts, and engineers working in industry and government

·         AI researchers and practitioners developing intelligent systems and applications

·         Graduate and doctoral students pursuing advanced research in data-driven disciplines

·         Policymakers and analysts using data analytics for governance and decision-making

·         Professionals in healthcare, finance, business, engineering, and social sciences applying data-driven methods

By engaging this broad audience, AJDSA facilitates the exchange of ideas between theory and practice, supporting both scientific discovery and real-world impact.

Editorial Vision

AJDSA is guided by an internationally diverse editorial board composed of experienced scholars, researchers, and industry experts. The editorial team is committed to maintaining the highest standards of academic integrity, transparency, and peer-review excellence. Editorial decisions are based solely on scholarly merit, originality, and relevance, independent of authors’ institutional affiliation or geographic location.

The journal adheres to the ethical guidelines of the Committee on Publication Ethics (COPE) and promotes responsible research practices, data transparency, and reproducibility. AJDSA actively encourages interdisciplinary collaboration and supports early-career researchers by providing a fair, constructive, and efficient review process.

Through its editorial vision, AJDSA aims to advance data science and analytics as transformative disciplines that drive innovation, inform decision-making, and contribute to solving complex global challenges.